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  Distributed representations of prediction error signals across the cortical hierarchy are synergistic

Gelens, F., Äijälä, J., Roberts, L., Komatsu, M., Uran, C., Jensen, M. A., et al. (2024). Distributed representations of prediction error signals across the cortical hierarchy are synergistic. Nature Communications, 15: 3941. doi:10.1038/s41467-024-48329-7.

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Gelens_2024_DistributedRepresentations.pdf (Publisher version), 38MB
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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/ licenses/by/4.0/.

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Gelens, Frank, Author
Äijälä, Juho, Author
Roberts, Louis, Author
Komatsu, Misako, Author
Uran, Cem1, 2, Author
Jensen, Michael A., Author
Miller, Kai J., Author
Ince, Robin A. A., Author
Garagnani, Max, Author
Vinck, Martin1, 2, Author                 
Canales-Johnson, Andres, Author
Affiliations:
1Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, ou_2074314              
2Vinck Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstraße 46, 60528 Frankfurt, DE, ou_3381242              

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 Abstract: A relevant question concerning inter-areal communication in the cortex is whether these interactions are synergistic. Synergy refers to the complementary effect of multiple brain signals conveying more information than the sum of each isolated signal. Redundancy, on the other hand, refers to the common information shared between brain signals. Here, we dissociated cortical interactions encoding complementary information (synergy) from those sharing common information (redundancy) during prediction error (PE) processing. We analyzed auditory and frontal electrocorticography (ECoG) signals in five common awake marmosets performing two distinct auditory oddball tasks and investigated to what extent event-related potentials (ERP) and broadband (BB) dynamics encoded synergistic and redundant information about PE processing. The information conveyed by ERPs and BB signals was synergistic even at lower stages of the hierarchy in the auditory cortex and between auditory and frontal regions. Using a brain-constrained neural network, we simulated the synergy and redundancy observed in the experimental results and demonstrated that the emergence of synergy between auditory and frontal regions requires the presence of strong, long-distance, feedback, and feedforward connections. These results indicate that distributed representations of PE signals across the cortical hierarchy can be highly synergistic.

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 Dates: 2024-05-102024
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41467-024-48329-7
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Title: Nature Communications
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Pages: - Volume / Issue: 15 Sequence Number: 3941 Start / End Page: - Identifier: ISSN: 2041-1723